show episodes
 
On the Mind Matters podcast, Discovery Institute’s Walter Bradley Center for Natural and Artificial Intelligence considers the implications and misconceptions, the opportunities and limitations, and the applications and challenges presented by intelligent agents and their algorithms.
 
Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while k ...
 
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
 
Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational n ...
 
Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.
 
This is the audio podcast for the ML Street Talk YouTube channel at https://www.youtube.com/c/MachineLearningStreetTalk Thanks for checking us out! We think that scientists and engineers are the heroes of our generation. Each week we have a hard-hitting discussion with the leading thinkers in the AI space. Street Talk is unabashedly technical and non-commercial, so you will hear no annoying pitches. Corporate- and MBA-speak is banned on street talk, "data product", "digital transformation" a ...
 
AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor. This podcast is produced by NVIDIA, the AI computing company. Multiple episodes are released every month.
 
Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.
 
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI. Each week, Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives from Fortune 500 firms and unicorn startups - to uncover trends, use-cases, and best practices for practical AI adoption. Subscribe to Emerj's weekly AI newsletter by downloading our "Beginning with AI" PDF guide: https://emerj.com/beg1
 
AI with AI explores the latest breakthroughs in artificial intelligence and autonomy, and discusses the technological and military implications. Join Andy Ilachinski and David Broyles as they explain the latest developments in this rapidly evolving field. The views expressed here are those of the commentators and do not necessarily reflect the views of CNA or any of its sponsors.
 
Roboism is a show mostly about robots. We are exploring how artificial intelligence, machine learning, and digital assistants are affecting our culture. Come explore the humanity behind the bots that are quickly becoming a part of every day life. Hosted by Kathy Campbell and Alex Cox.
 
The team at MMC go 'Beyond the Hype' with the world’s leading AI technologists, entrepreneurs and corporate executives that are transforming today's industries. This podcast is produced by MMC Ventures, the research-led venture capital firm investing in early-stage technology companies. Visit mmc.vc for more details or find us on Twitter @MMC_Ventures.
 
TalkRL podcast is All Reinforcement Learning, All the Time. In-depth interviews with brilliant people at the forefront of RL research and practice. Guests from places like MILA, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute. Hosted by Robin Ranjit Singh Chauhan. Technical content.
 
Unlock the business value of AI in financial services with in-depth interviews on trends, use-cases, and cutting-edge best practices. In each episode, Emerj Founder Daniel Faggella interviews leaders at firms like HSBC, Citigroup, and Visa - as well as AI innovators from Silicon Valley and around the world. Subscribe to Emerj's weekly AI newsletter by downloading our "AI in Financial Services Cheat Sheet" PDF guide: https://emerj.com/fin1
 
In each episode of The Robot Brains podcast, renowned artificial intelligence researcher, professor and entrepreneur Pieter Abbeel meets the brilliant minds attempting to build robots with brains. Pieter is joined by leading experts in AI Robotics from all over the world as he explores how far humanity has come in its mission to create conscious computers, mindful machines and rational robots. Host: Pieter Abbeel | Executive Producers: Alice Patel & Henry Tobias Jones | Audio Production: Kie ...
 
David Yakobovitch explores AI for consumers through fireside conversations with industry thought leaders on HumAIn. From Chief Data Scientists and AI Advisors, to Leaders who advance AI for All, the HumAIn Podcast is the channel to release new AI products, to learn about industry trends, and to bridge the gap between humans and machines in the Fourth Industrial Revolution.
 
Hosted by Rajeev Kanth to Build your skills on Data Science, Artificial intelligence, Machine Learning, Deep Learning e.t.c. from our podcasts. Listen to best podcasts like machine learning algorithms, data science projects, data science resume building tips, data science algorithms, data science job life, machine learning applications, machine learning implementations, big data e.t.c. from this top podcasts in the industry. Listen now in iTunes, buzzsprout, Spotify, anchor FM e.t.c. Learn D ...
 
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NLP Highlights

1
NLP Highlights

Allen Institute for Artificial Intelligence

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Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. The hosts are the members of the AllenNLP team at Allen Institute for AI. All views expressed belong to the hosts and guests and do not represent their employers.
 
Al: Innovation or Destruction? In this sci-fi podcast based on the groundbreaking interactive series Artificial, our hosts delve into the world of Sophie, an artificial intelligence being on a journey to become human, in attempts to illuminate the dangers and benefits of AI while looking at how to ethically treat and develop our new sentient friends. We invite you to join the conversation and weigh in on the ultimate question: Will Al prove to be good for the world... or will it lead to our ...
 
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Learning Machines 101

1
Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that wil ...
 
Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.
 
BRIDGEi2i’s signature podcast “AI to Impact” covers everything about Digital and AI. Featuring some remarkable thought leadership, expert points of view, and commentaries from a gamut of industry leaders, this is a definitive guide for Making AI Real. Put on your headphones and join us on this insightful journey of AI-powered Transformation.You can also listen to our podcast on below channels-Spotify link: https://spoti.fi/2TiJLRfApple link: https://apple.co/3cI0pkUGoogle link: https://bit.l ...
 
Hello World, it's Siraj! I conduct educational discussions about AI technology, Science, Engineering, and Mathematics with humans I admire. The goal is to give you inspiration & education so that you can gain financial freedom by helping create technology that empowers humans. Support this podcast: https://anchor.fm/sirajraval/support
 
Welcome to YOU, a podcast about the intersection of technology, humanity, and identity, brought to you by Okta. Each episode, host Claire L. Evans speaks with renowned experts in the fields of science, technology, art, philosophy, and design about how tech is changing the way we see ourselves, each other, and the world. Together, we’ll explore the many facets of identity: how we quantify ourselves, find love and belonging, engage as citizens, and so much more.
 
How will the future unfold? What is the impact of technology on business & society? As technology reorders the world in which live, who will be the winners and who will be the losers? Join Azeem Azhar, curator of the Exponential View newsletter, in deep conversation with the world's leading thinkers and practitioners exploring these and other important questions. The views expressed on this podcast are those of its hosts, guests, and callers, and not those of Harvard Business Review.
 
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show series
 
As the markets for Data, Automation, Analytics, and AI continue to evolve, so too does Cognilytica’s coverage of these areas. In today’s podcast we discuss how we are expanding our current Cognilytica Classification of the AI Vendor Ecosystem to include a data infrastructure layer. Within this layer falls data generation, big data storage and query…
 
Today we’re joined by Arun Kumarm, an associate professor at UC San Diego. We had the pleasure of catching up with Arun prior to the Workshop on Databases and AI at NeurIPS 2021, where he delivered the talk “The New DBfication of ML/AI.” In our conversation, we explore this “database-ification” of machine learning, a concept analogous to the transf…
 
Andy and Dave discuss the latest in AI news and research, including the signing of the 2022 National Defense Authorization Act, which contains a number of provisions related to AI and emerging technology [0:57]. The Federal Trade Commission wants to tackle data privacy concerns and algorithmic discrimination and is considering a wide range of optio…
 
Alexander Pan, Kush Bhatia, Jacob SteinhardtAbstractReward hacking -- where RL agents exploit gaps in misspecified reward functions -- has been widely observed, but not yet systematically studied. To understand how reward hacking arises, we construct four RL environments with misspecified rewards. We investigate reward hacking as a function of agen…
 
You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity. …
 
Companies of all sizes and sectors have committed to net-zero emissions targets, but getting there is not straightforward. Measuring carbon dioxide output is tricky, carbon markets are fragmented, and the quality of offsets varies hugely. Michelle You, co-founder and CEO of Supercritical, is on a mission to help companies better measure, reduce, an…
 
While the world’s temperature rises, there are scores of scientists working around the globe to study causes and solutions. One scientist in particular, David Rolnick, has stood out as a pioneer of machine-learning in the fight against climate change. This scientist has been successful in building a broader movement including others like Andrew Ng,…
 
Today's episode breaks down some of the key findings from the Voice Shopping Consumer Adoption Report for 2021. Data presented goes back to 2018 and shows a rising trend in adoption. Learn about total users, total consumer interest, product categories, average voice shopping order size, demographic data around users and much more. This episode feat…
 
Brian Keating is an experimental physicist at the UCSD, author of Losing the Nobel Prize, and host of the Into the Impossible podcast. Please support this podcast by checking out our sponsors: – InsideTracker: https://insidetracker.com/lex and use code Lex25 to get 25% off – Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 …
 
Our guest this week is Dr. Seth Dobrin, the Global Chief AI Officer at IBM, one of the biggest names in artificial intelligence. In this episode, Seth returns to the podcast to speak about AI governance in terms of enabling innovation and driving better results for enterprises. He also discusses the right way to structure and think about AI governa…
 
Interview Starts at 38:10 Cal Washington joins us to chat about Inpower and learning how the court system works and how to beat it. We talk about the history of Admiralty and Maritime Law, law Merchant, acting as Commerce, and how we are all Merchants. We chat about his awakening to the Raquet through divorce court and his journey to figuring out w…
 
Yaron Brook is an objectivist. Yoram Hazony is a national conservative. This is a conversation and debate about national conservatism vs individualism. Please support this podcast by checking out our sponsors: – Noom: https://trynoom.com/lex – InsideTracker: https://insidetracker.com/lex and use code Lex25 to get 25% off – SimpliSafe: https://simpl…
 
Browse through MORF Gallery — virtually or at an in-person exhibition — and you’ll find robots that paint, digital dreamscape experiences, and fine art brought to life by visual effects.The gallery showcases cutting-edge, one-of-a-kind artwork from award-winning artists who fuse their creative skills with AI, machine learning, robotics and neurosci…
 
Chatting with co-workers about the role of DevOps in a machine learning engineer's life Expert coworkers at Dept Matt Merrill - Principal Software Developer Jirawat Uttayaya - DevOps Lead The Ship It Podcast (where Matt features often) Devops tools Terraform Ansible Pictures (funny and serious) Which AWS container service should I use? A visual gui…
 
How do bees know how to build their hives? Insects have a wide variety of fascinating social behaviors. Where do they come from? Robert J. Marks and Eric Cassell, author of Animal Algorithms, discuss the origins of these mysterious instincts and how AI research has learned a great deal from nature. Show Notes 00:39 | Introducing Eric Cassell 01:01 …
 
Today we’re joined by Meredith Broussard, an associate professor at NYU & research director at the NYU Alliance for Public Interest Technology. Meredith was a keynote speaker at the recent NeurIPS conference, and we had the pleasure of speaking with her to discuss her talk from the event, and her upcoming book, tentatively titled More Than A Glitch…
 
Two bouts with cancer and a cardiac arrest at age 35 haven't stopped this ophthalmologist-comedian from becoming a social media phenomenon for hilariously poking fun at medicine and himself. This podcast is intended for US health professionals only. Eric J. Topol, MD, Director, Scripps Translational Science Institute; Professor of Molecular Medicin…
 
Enjoy the Podcast on Simplifying Machine Learning #1 To speak with our Mentor Mr Kanth, Message him on Instagram Do-Follow on Instagram: meet_kanth ❌Companies are not hiring freshers on Data Science/AI based on your course completion certificates. ✅To get a job in Data Science/AI, One must build a portfolio. ✅Learners are wasting time than money du…
 
Today’s guest is Remi Duquette, Vice President of Innovation and Industrial AI at Maya HTT. Maya HTT is an engineering and industrial AI services firm that Remi’s been with for twenty years. Remi draws on his hands-on experience to discuss the challenges and opportunities of improving productivity with AI in manufacturing. Today’s episode focuses o…
 
In order for many machine learning algorithms to be trained, especially supervised learning algorithms, they need to be fed relevant data along with the desired meaning of the data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide an overview of the data labeling market, what “ground truth” labeling is, the dif…
 
Some people see cryptocurrencies as speculative assets with no real utility at best, a Ponzi scam at worst. For others, blockchain-based currencies represent the bright future of the financial system. Do Kwon, founder and CEO of Terraform Labs, the company behind the Terra blockchain, is firmly in the second camp. He and Azeem Azhar discuss the Ter…
 
Thank you for sharing Valuable Info regarding how to prepare for Data Science. To speak with our Mentor Mr Kanth, Message him on Instagram Do-Follow on Instagram: meet_kanth ❌Companies are not hiring freshers on Data Science/AI based on your course completion certificates. ✅To get a job in Data Science/AI, One must build a portfolio. ✅Learners are …
 
In this episode, MMC Principal Mina Samaan talks to Erik Lien CEO of RPA Supervisor. An MMC portfolio company that is a Automation Management Platform, keeping bots operating as they encounter common issues. They discuss what led them to launch RPA Supervisor, why it is important to bring in an NED and their most recent round of fundraising.…
 
In the second episode of Season Two of The Robot Brains, Pieter Abbeel interviews the Chief Technology Officer of Etsy, Mike Fisher. Etsy is a global online marketplace, where people come together to make, sell, buy, and collect unique items. It was founded in 2005 as an accessible listing site for DIY crafters and artists to sell their wares befor…
 
Big one this week, artist and researcher Kyle McDonald did the gruelling work to calculate the energy and carbon cost of Ethereum, and we try to break down those numbers, calculate their relative impact, discuss critiques of web 3 and debate why they are mostly coming from where they are coming from. Ethereum Emissions: https://kylemcdonald.github.…
 
We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure. Discuss on Changelog News Jo…
 
This week’s guest is Gregory Diamos, Machine Learning Systems Engineering at Landing AI. Run by one of the most prominent names in the business AI world, Andrew Ng, Landing AI has raised over $50M to date. Before Andrew founded Landing AI, he and Gregory worked together in the Baidu Silicon Valley Research Lab. In today’s episode, Gregory discusses…
 
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer LevyAbstractNLP benchmarks have largely focused on short texts, such as sentences and paragraphs, even though long texts comprise a considerable amount of natural language in the wild. We introduce SCROLLS, a suite of task…
 
Qiwen Cui and Simon S. DuAbstractWe study what dataset assumption permits solving offline two-player zero-sum Markov game. In stark contrast to the offline single-agent Markov decision process, we show that the single strategy concentration assumption is insufficient for learning the Nash equilibrium (NE) strategy in offline two-player zero-sum Mar…
 
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng QiuAbstractExtremely large pre-trained language models (PTMs) such as GPT-3 are usually released as a service, allowing users to design task-specific prompts to query the PTMs through some black-box APIs. In such a scenario, which we call Language-Model-as-a-Service (LMaaS), gradients of…
 
Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award recipient. We begin our conversation with Sebastian with a bit of a primer on convex optimization, a topic that hasn’t come up much in previous interviews…
 
Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad AliannejadiAbstractRecommender Systems (RSs) aim to model and predict the user preference while interacting with items, such as Points of Interest (POIs). These systems face several challenges, such as data sparsity, limiting their effectiveness. In this paper, we address this p…
 
Harald RuessAbstractA new generation of increasingly autonomous and self-learning systems, which we call embodied systems, is about to be developed. When deploying these systems into a real-life context we face various engineering challenges, as it is crucial to coordinate the behavior of embodied systems in a beneficial manner, ensure their compat…
 
David HeckermanAbstractA Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in conjunction with statistical techniques, the graphical model has several advantages for data analysis. One, because the model encodes dependencies among all variables, it readily handles situations where …
 
Xia Shuyin, Wang Cheng, Wang GuoYing, Gao XinBo, Elisabeth Giem, Yu JianHangAbstractPawlak rough set and neighborhood rough set are the two most common rough set theoretical models. Pawlawk can use equivalence classes to represent knowledge, but it cannot process continuous data; neighborhood rough sets can process continuous data, but it loses the…
 
Minjae ParkAbstractHeterogeneous graph neural networks can represent information of heterogeneous graphs with excellent ability. Recently, self-supervised learning manner is researched which learns the unique expression of a graph through a contrastive learning method. In the absence of labels, this learning methods show great potential. However, c…
 
Jing Du, Shiliang Pu, Qinbo Dong, Chao Jin, Xin Qi, Dian Gu, Ru Wu, Hongwei ZhouAbstractAlthough modern automatic speech recognition (ASR) systems can achieve high performance, they may produce errors that weaken readers' experience and do harm to downstream tasks. To improve the accuracy and reliability of ASR hypotheses, we propose a cross-modal …
 
Dan Crisan and Alexander Lobbe and Salvador Ortiz-LatorreAbstractThe filtering equations govern the evolution of the conditional distribution of a signal process given partial, and possibly noisy, observations arriving sequentially in time. Their numerical approximation plays a central role in many real-life applications, including numerical weathe…
 
Pascal Gerber, Lisa J\"ockel, Michael Kl\"asAbstractOutcomes of data-driven AI models cannot be assumed to be always correct. To estimate the uncertainty in these outcomes, the uncertainty wrapper framework has been proposed, which considers uncertainties related to model fit, input quality, and scope compliance. Uncertainty wrappers use a decision…
 
Jiahao Huang, Yingying Fang, Yinzhe Wu, Huanjun Wu, Zhifan Gao, Yang Li, Javier Del Ser, Jun Xia, Guang YangAbstractMagnetic resonance imaging (MRI) is an important non-invasive clinical tool that can produce high-resolution and reproducible images. However, a long scanning time is required for high-quality MR images, which leads to exhaustion and …
 
Lars {\O}degaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro and Paal EngelstadAbstractWith the increased penetration of wind energy into the power grid, it has become increasingly important to be able to predict the expected power production for larger wind farms. Deep learning (DL) models can learn complex patterns in the data and have found wid…
 
Guowei Cui and Xiaoping ChenAbstractOne of the challenges of task planning is to find out what causes the planning failure and how to handle the failure intelligently. This paper shows how to achieve this. The idea is inspired by the connected graph: each verticle represents a set of compatible \textit{states}, and each edge represents an \textit{a…
 
Guangdong Xue, Qin Chang, Jian Wang, Kai Zhang and Nikhil R. PalAbstractA major limitation of fuzzy or neuro-fuzzy systems is their failure to deal with high-dimensional datasets. This happens primarily due to the use of T-norm, particularly, product or minimum (or a softer version of it). Thus, there are hardly any work dealing with datasets with …
 
Ruofan Liang, Bingsheng He, Shengen Yan, Peng SunAbstractMulti-tenant machine learning services have become emerging data-intensive workloads in data centers with heavy usage of GPU resources. Due to the large scale, many tuning parameters and heavy resource usage, it is usually impractical to evaluate and benchmark those machine learning services …
 
Geeho Kim, Jinkyu Kim, Bohyung HanAbstractFederated learning often suffers from unstable and slow convergence due to heterogeneous characteristics of participating clients. Such tendency is aggravated when the client participation ratio is low since the information collected from the clients at each round is prone to be more inconsistent. To tackle…
 
Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo ZhangAbstractAs the deep learning techniques have expanded to real-world recommendation tasks, many deep neural network based Collaborative Filtering (CF) models have been developed to project user-item interactions into latent feature space, based on various neural architectures, such …
 
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